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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| AI Model Development | - Model training and evaluation - Hyperparameter tuning |
| AI Application Deployment and Operations | - AI service monitoring and optimization - Inference service deployment |
| Data Processing and Analysis | - Feature engineering - Data preprocessing techniques |
| Artificial Intelligence Fundamentals | - Introduction to AI concepts - Deep learning fundamentals - Machine learning basics |
| Huawei AI Development Platform (ModelArts) | - Model training and deployment on ModelArts - Dataset management - ModelArts usage and workflow |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. In the figure below, the chessboard distance between pixels p and s is () (& symbol represents a space)
P. &q
& r&t
&&&s
A) 2
B) 5
C) 8
D) 3
2. ModelArts creates a one-stop development platform where users can customize and develop AI models. ModelArts covers all aspects of AI development.
A) True
B) False
3. Which modules does ModelArts cover? (Multiple choice)
A) Development Environment
B) Data Management
C) Model Management
D) deployment and launch
E) AI Market
4. In image preprocessing, the function of () is to remove noise, etc.
5. Which of the following templates can achieve image sharpening?
A) 0 -1 0
-1 4 -1
0 -1 0
B) 0 1 0
1 1 1
0 1 0
C) 0 1 0
1 3 1
0 1 0
D) 0 -1 0
-1 6 -1
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: A,B,C,D,E | Question # 4 Answer: Only visible for members | Question # 5 Answer: D |
